Atmospheric Induced Errors in Space-Time Adaptive Processing

This thesis examines the effects of atmospheric turbulence-induced phase perturbations on the performance of ground-based Space-Time Adaptive Processing (STAP) systems. Both Fully Adaptive Joint Domain Optimum and Partially Adaptive Factored-Time Space processing methods are examined. This thesis concentrates on the turbulence effects on STAP applied to ground-based arrays. This thesis further focuses on the capability of STAP to resolve targets at low elevation angles in the presence of turbulence. Only clutter interference and receiver noise are considered. Turbulence effects on the EM phase-front are calculated for turbulence strength Cn(2) values ranging from 5.0 x 10(exp -14) m-2/3 to 5.0 x 10(exp -10) m-2/3 in the S, X, and Ka frequency bands. The analysis is carried out for array lengths of 32, 64, and 200 antenna elements at each frequency. The performance losses are summarized in terms of the signal-to-interference-plus-noise ratio (SINR) and the SINR Loss (LSINR). Fully adaptive performance losses due to atmospheric turbulence are less than 1 dB for typical turbulence strengths. The 200 element array faces a 6 dB performance loss at 30 GHz under turbulence of Cn(2) = 5 x 10(exp -12) m-2/3. Similar losses are recorded for Factored Time-Space and for all experiments where sampling of the interference through turbulence is simulated

The Misuses of Reliability Coeffient and Sampling Variance in Educational Research

Many educational researchers report the reliability of their data. They also report tha sampling techniques used in their research. Some of the reports treat the reliability coefficients and sampling variances incorrectly. It is a misuse of the reliability coefficients and sampling variances in educational researc

Ketidaktepatan Penggunaan Validitas Butir Dan Koefisien Reliabilitas Dalam Penelitian Pendidikan Dan Psikologi

Item validity is applied in educational and psychological research through item analysis to enhance the reliability of respondent scores. Recently, there are a couple of inappropriate ways of treating item validity, which neither ensures the reliability nor justifies the validity of the measurement. Similar cases also happen in the application of reliability coefficient

Semi Supervised Multi Text Classifications for Telugu Documents

As the amount of information available on the internet grows at a rapid pace, text classification becomes critical. This data is in an unstructured state and will need to be digitized. Due to the digital nature of these documents, data must be organized by automatically assigning a collection of documents to predefined labels based on their content. To mitigate the growing impact of news text classification, keyword detection approaches based on mostly supervised classification methods have been proposed. However, in practice, the given data is largely unlabeled, necessitating the use of semi-supervised learning techniques instead. We examine the effectiveness of a semi-supervised method for Telugu news articles in this paper. It also addresses some of the most pressing issues in automated text classification, including dealing with unstructured text, handling large numbers of attributes using natural language processing techniques, and dealing with missing metadata due to Telugu's morphological complexity. After classification, semi-supervised clustering is used to classify patterns. Unlabeled texts are used to adapt the centroids, while unlabeled texts are used to capture text cluster silhouette coefficients. To that end, the aim of this study is to use semi-supervised learning methods to investigate the effect of n-gram feature selection on news article text classification. Statistical results classification rate, precision, recall and F-score for news articles are  validated. The results show that the approaches significantly improve the performance

ROLE OF CLINICAL PHARMACIST IN ASSESSMENT OF DRUG RELATED PROBLEMS OF CARDIOVASCULAR AGENTS IN DEPARTMENT OF CARDIOLOGY IN A TERTIARY CARE HOSPITAL – A PROSPECTIVE OBSERVATIONAL STUDY

In total of 173 prescriptions of the patient, the total number of 329 drug interactions (DIs) was found, in which the 240 interactions were found in male and 89 in the female bearing 72.90% and 27.10%, respectively. Patient was of various age groups, in which the maximum frequency was seen in the age group of 61–70 years having 105 interactions bearing the percentage of 31.9%. According to the participation of different age group of the male and female with their corresponding age. The participation of male is high having frequency of 240 (72.9%) than female participation of frequency 89 (27.1%). The participation of male in the age group of 61–70 years is 83 and the female is 40 in the age group of 51–60 years. Potential DIs (PDIs) were categorized based on the gender. In that compared to 13 (40.6) females, males 19 (59.4%) were found to have more PDIs. Our study is more PDIs in adult patients. Because in adults lacking of nutrition’s and in elderly patients multiple prescribers, multiple drugs and multiple diseases. The number of potential drug-DI (PDDI) increased with an increase in the number of drugs prescribed. The numbers of drug prescribed increase with age. This DI has a potential to increase or decrease the therapeutic effect or to increase the risk of adverse drug reaction. An increased awareness of PDDIs, rational coprescription of drugs, and a close monitoring of patients in whom these drugs are prescribed are recommended. The recommendation is based on the special monitoring and the perspiration of the clinical pharmacist. The DI observed in the geriatric patient is more severe and common in compared to the other groups of study. The geriatric patient is physiological disability in correspond with the first-pass metabolism and the presence of the other diseases which also enables the multiple prescriptions causing polypharmacy. The gender specification also the cause of the interaction, the female is more prone to the DI due to the hormonal distribution in the body and inability of the physiological function to absorb and the distribution. The special training should be provided to the pharmacist for looking forward of the geriatric patient and female patient. The training regarding the prescription their adherence, use, toxicity, and dosage regimen is being properly enabled in the training for the practical application. This study helps to know the different interaction related to the cardiovascular agent with own class of the drug and the other class of drugs used therapeutically to care the disease

Comparative study on efficacy of myo inositol over metformin in Polycystic ovary syndrome patients

Background: Study aimed to determine the effectiveness of Myo-Inositol over Metform in women with established diagnosis of PCOS. Method: A total of 90 women diagnosed with PCOS with Vitamin D deficiency included in the study and divided into 3 groups of 30 each. Group A received Tab. Metformin 500mg thrice daily for a period of 24 wks. Group B women received Tab. Myoinositol 2 gm twice daily for a period of 24 wks. Group C women received Tab. Metformin 500mg twice daily with Tab. Myoinositol 2 gm twice daily. Results: After treatment, 26%, 50%, and 80% were showed regular menstrual cycles (p= 0.001).  After 6 months of treatment, there was a reduction of polycystic ovaries in 50% in group A, 80% reduction in group B, and 93.33% reduction in group C respectively. There was a significant reduction in Acne, Hirusitism, BMI, serum LH, FSH, LH/FSH ratio, free testosterone, total testosterone, serum insulin levels, total cholesterol levels were seen at the end of 24 weeks in 3 groups, but higher significance seen in group C. Conclusion: It is thus evident that Myoinositol administration helps to improve insulin sensitivity and can be used in women with PCOS having insulin resistance. Myoinositol helps in reducing metabolic and endocrine abnormalities in PCOS patients. Myoinositol is safe, inexpensive and easily available, its addition to Metformin can contribute for normalization of the dysregulated metabolism in various tissues including ovaries, pancreas, muscle and enhance the action of Metformin in improving the clinical, biochemical features of PCOS

A comparative study of laparoscopic assisted vaginal hysterectomy versus total abdominal hysterectomy in benign gynaecological conditions

Background: Laparoscopic assisted vaginal hysterectomy (LAVH) has become an alternative to Total Abdominal Hysterectomy (TAH) in cases difficult to manage via vaginal route. To compare the TAH and LAVH for benign uterine pathology.Methods: This prospective study conducted with the outcomes of Laparoscopic assisted vaginal hysterectomy with Total abdominal hysterectomy over a period of 2 years in 100 patients who are undergoing hysterectomies for benign uterine pathology. 50 underwent TAH and 50 underwent Laparoscopic Assisted Vaginal hysterectomy.Results: The average duration of surgery in TAH group is 50 minutes and it is 75 minutes in LAVH group (p0.05). Recovery and return to work after discharge from hospital was early with LAVH group as early as 2 weeks in 46% of patients. In TAH group, it was late by 4 weeks in 52% of patients and by 6 weeks in 10% of patients.Conclusions: Thus, it can be concluded that LAVH is safe with less blood loss, shorter duration of hospital stay, early recovery to work, and other intra-operative and post-operative complications

Online modelling of water distribution system using Data Assimilation

PublishedConference Proceeding12th International Conference on Computing and Control for the Water Industry, CCWI2013This paper applies Data Assimilation (DA) methods to a Water Distribution System Model to improve the realtime estimation of water demand, and hydraulic system states. A time series model is used to forecast water demands which are used to drive the hydraulic model to predict the future system state. Both water demands and water demand model parameters are corrected via DA methods to update the system state. The results indicate that DA methods improved offline hydraulic modelling predictions. Of the DA methods, the Ensemble Kalman Filter outperformed the Kalman Filter in term of updating demands and water demand model parameters. © 2013 The Authors.The authors are grateful to United Utilities (UU), Mr D. Clucas, Mr T. Allen, Mr N. Croxton and UU hydraulic modelling team for providing the case study data and supporting financially the STREAM EngD project